dataspike

Name	dataspike JSON
Version	0.1.4 JSON
	download
home_page	None
Summary	The official wrapper for Dataspike API
upload_time	2024-10-02 12:23:53
maintainer	None
docs_url	None
author	None
requires_python	>=3.8
license	MIT
keywords	dataspike kyc identity
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Dataspike python client library

The official wrapper for Dataspike API

[DataSpike](https://dataspike.io) KYC and AML API library is a powerful tool that allows developers to integrate KYC (Know Your Customer) and AML (Anti-Money Laundering) functionalities into their applications seamlessly. This library provides a simple and efficient way to perform identity verification, compliance checks, and risk assessment for individuals and businesses.

[![https://www.dataspike.io](https://www.dataspike.io/_next/static/media/logo.030dd927.svg)](https://dataspike.io)

## Support

If you encounter any issues or have any questions, feel free to reach out to our team at dev@dataspike.io. We're here to help!


## Contributing

We welcome contributions from the community. If you have any improvements or bug fixes, please submit a pull request. 
For major changes, please open an issue first to discuss the proposed changes.


## Installation

`pip install dataspike`

## Getting started

Library offers well typed async API powered by pydantic and aiohttp.

```python
from dataspike import *

async with Api("<YOUR_API_TOKEN>") as api:
    verification = await api.verification.create()
    await api.document.upload(verification.applicant_id, DocumentType.Passport, open('passport.jpg', 'rb'))
    await api.document.upload(verification.applicant_id, DocumentType.Selfie, open('selfie.jpg', 'rb'))
    await api.verification.proceed(verification.id)
    applicants = await api.applicant.list()
    verifications = await api.verification.list()
```


### Resources

Full reference and documentation about available resources 
can be found at our [official documentation](https://docs.dataspike.io)

Currently library provides following resources
 
- AML `api.aml`
- Applicant `api.applicant`
- Verification `api.verification`
- SDK `api.sdk`
- Documents `api.document`


### Timeouts
Library uses aiohttp ClientSession. 
To pass timeouts use keyword arguments which will passed to ClientSession constructor

Check out [aiohttp client reference](https://docs.aiohttp.org/en/stable/client_reference.html) for details.

Example 
```python
from dataspike import Api
async with Api('<API_TOKEN>', read_timeout=2) as api:
    ...
```

### Errors

- `pydantic.ValidationError` is raised when type parameters not match with expected for API func.
- `asyncio.TimeoutError` is raised if a timeout occurs.
- `dataspike.errors.UnexpectedResponseStatus` is raised whenever dataspike returns unexpected response status.


### Sync API wrapper

We recommend use async api directly. But if you really want to use sync api
library offers `SyncApi` wrapper. Take note it build on top of async API 
and still use asyncio under the hood.

Example
```python
from dataspike import SyncApi
with SyncApi("<API_TOKEN>") as api:
    applicants = api.applicant.list()
```

            

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    "description": "# Dataspike python client library\n\nThe official wrapper for Dataspike API\n\n[DataSpike](https://dataspike.io) KYC and AML API library is a powerful tool that allows developers to integrate KYC (Know Your Customer) and AML (Anti-Money Laundering) functionalities into their applications seamlessly. This library provides a simple and efficient way to perform identity verification, compliance checks, and risk assessment for individuals and businesses.\n\n[![https://www.dataspike.io](https://www.dataspike.io/_next/static/media/logo.030dd927.svg)](https://dataspike.io)\n\n## Support\n\nIf you encounter any issues or have any questions, feel free to reach out to our team at dev@dataspike.io. We're here to help!\n\n\n## Contributing\n\nWe welcome contributions from the community. If you have any improvements or bug fixes, please submit a pull request. \nFor major changes, please open an issue first to discuss the proposed changes.\n\n\n## Installation\n\n`pip install dataspike`\n\n## Getting started\n\nLibrary offers well typed async API powered by pydantic and aiohttp.\n\n```python\nfrom dataspike import *\n\nasync with Api(\"<YOUR_API_TOKEN>\") as api:\n    verification = await api.verification.create()\n    await api.document.upload(verification.applicant_id, DocumentType.Passport, open('passport.jpg', 'rb'))\n    await api.document.upload(verification.applicant_id, DocumentType.Selfie, open('selfie.jpg', 'rb'))\n    await api.verification.proceed(verification.id)\n    applicants = await api.applicant.list()\n    verifications = await api.verification.list()\n```\n\n\n### Resources\n\nFull reference and documentation about available resources \ncan be found at our [official documentation](https://docs.dataspike.io)\n\nCurrently library provides following resources\n \n- AML `api.aml`\n- Applicant `api.applicant`\n- Verification `api.verification`\n- SDK `api.sdk`\n- Documents `api.document`\n\n\n### Timeouts\nLibrary uses aiohttp ClientSession. \nTo pass timeouts use keyword arguments which will passed to ClientSession constructor\n\nCheck out [aiohttp client reference](https://docs.aiohttp.org/en/stable/client_reference.html) for details.\n\nExample \n```python\nfrom dataspike import Api\nasync with Api('<API_TOKEN>', read_timeout=2) as api:\n    ...\n```\n\n### Errors\n\n- `pydantic.ValidationError` is raised when type parameters not match with expected for API func.\n- `asyncio.TimeoutError` is raised if a timeout occurs.\n- `dataspike.errors.UnexpectedResponseStatus` is raised whenever dataspike returns unexpected response status.\n\n\n### Sync API wrapper\n\nWe recommend use async api directly. But if you really want to use sync api\nlibrary offers `SyncApi` wrapper. Take note it build on top of async API \nand still use asyncio under the hood.\n\nExample\n```python\nfrom dataspike import SyncApi\nwith SyncApi(\"<API_TOKEN>\") as api:\n    applicants = api.applicant.list()\n```\n",
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